Java in the database-is it really useful? Solving impossible Big Data challenges

Since 1999, Oracle has included a Java Virtual Machine (JVM) within the database. That makes it old enough to drive and well past time to get a real job. In today’s data-obsessed world, that job is fortifying Oracle’s database with a healthy dose of analytics to give your database the power to handle the data challenges of the 21st century...
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Spotlight

Data Analytics: How retailers can use descriptive, predictive, prescriptive and cognitive analytics to create better retail forecasts based on consumer and user behavior. The following are tests conducted in the Retail industry by Massachusetts Institute of Technology (MIT) and the Oracle Retail Science team.


OTHER ON-DEMAND WEBINARS

Make Cloud Part of Your BI Strategy, featuring Forrester Research

Join guest speaker, Forrester Principal Analyst Martha Bennett, as she shares findings from The Forrester Wave and discusses what organizations must do to make cloud solutions part of their BI strategy. You will also hear from Pedro Arellano, Sr. Director of Product Strategy at Birst, who will discuss how modern cloud architectures are transforming the way companies deliver and consume BI applications.
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Getting Data Down to a Science – Code-free and Code-friendly Machine Learning

Alteryx

Data Science helps answer some of the most basic - and the most complex - business questions. In this latest Data Science Central webinar you will learn how to get data down to a science with code-free and code-friendly self-service analytics platforms. Decisive Data’s Lead Data Scientist Tessa Jones will use a sample data set from a global corporation to answer some of the most common data science questions applicable across businesses.
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Leveraging Big Data Analytics for Service Management

Unisys

Data analysis is the driver to identify cost savings and increased efficiencies. It allows you to better predict the future as well as remediate the past. You cannot only streamline operations and reduce costs by analyzing service performance to predict and preempt events, but also mine information on business transactions to identify potential new revenue channels.
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Big data storage: options & recommendations storage: options & recommendations

WANdisco

Hadoop clusters are often built around commodity storage, but architects now have a wide selection of Big Data storage choices, including solid-state or spinning disk for clusters and enterprise storage for compatibility layers and connectors.In this webinar, our experts will review the storage options available to Hadoop architects and provide recommendations for each use case, including an active-active replication option that makes data available across multiple storage systems.
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Spotlight

Data Analytics: How retailers can use descriptive, predictive, prescriptive and cognitive analytics to create better retail forecasts based on consumer and user behavior. The following are tests conducted in the Retail industry by Massachusetts Institute of Technology (MIT) and the Oracle Retail Science team.

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